Evaluation of Text Classification Using Support Vector Machine Compare with Naive Bayes, Random Forest Decision Tree and K-NN
In: Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering : New Artificial Intelligence and the Internet of Things Based Perspective and Solutions, Jg. 735 (2023), S. 321-331
Online
E-Book
Zugriff:
| Titel: |
Evaluation of Text Classification Using Support Vector Machine Compare with Naive Bayes, Random Forest Decision Tree and K-NN
|
|---|---|
| Autor/in / Beteiligte Person: | Hai, Tao ; Zhou, Jincheng ; Zadeh, Shirin Abolfath ; Adetiloye, Oluwabukola A. ; Li, Mingjiang ; Uhumuavbi, Ikpenmosa ; Iwendi, Celestine ; Kacprzyk, Janusz, Series Editor ; Gomide, Fernando, Advisory Editor ; Kaynak, Okyay, Advisory Editor ; Liu, Derong, Advisory Editor ; Pedrycz, Witold, Advisory Editor ; Polycarpou, Marios M., Advisory Editor ; Rudas, Imre J., Advisory Editor ; Wang, Jun, Advisory Editor ; Iwendi, Celestine [Ed.] ; Boulouard, Zakaria [Ed.] ; Kryvinska, Natalia [Ed.] |
| Link: | |
| Zeitschrift: | Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering : New Artificial Intelligence and the Internet of Things Based Perspective and Solutions, Jg. 735 (2023), S. 321-331 |
| Veröffentlichung: | 2023 |
| Medientyp: | E-Book |
| ISBN: | 978-3-031-37163-9 (print) ; 978-3-031-37164-6 (print) |
| DOI: | 10.1007/978-3-031-37164-6_23 |
| Sonstiges: |
|